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fix: centralized pipeline config type coercion to prevent string-type crashes (#2031)
* fix: coerce pipeline config types at load time using metadata definitions Pipeline configs stored in SQLAlchemy JSON columns can have values turned into strings after UI edits (e.g. "120" instead of 120), causing runtime arithmetic/logic errors. Add centralized type coercion in load_pipeline() that leverages existing metadata YAML type definitions (integer, number, float, boolean) to convert values before they reach downstream stages. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: address review - defensive getattr + add unit tests for config_coercion - Use getattr with defaults for pipeline_config_meta_* attributes to avoid AttributeError when MockApplication lacks these fields - Add 18 unit tests for config_coercion module covering all code paths Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add dynamic form stage tracking and snapshot management * fix: standardize string formatting in config coercion and improve logging messages --------- Co-authored-by: KPC <kpc@kpc.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Junyan Qin <rockchinq@gmail.com>
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@@ -13,6 +13,7 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
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import langbot_plugin.api.entities.builtin.platform.events as platform_events
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import langbot_plugin.api.entities.events as events
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from ..utils import importutil
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from .config_coercion import coerce_pipeline_config
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import langbot_plugin.api.entities.builtin.provider.session as provider_session
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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@@ -420,6 +421,14 @@ class PipelineManager:
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elif isinstance(pipeline_entity, dict):
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pipeline_entity = persistence_pipeline.LegacyPipeline(**pipeline_entity)
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coerce_pipeline_config(
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pipeline_entity.config,
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getattr(self.ap, 'pipeline_config_meta_trigger', {'name': 'trigger', 'stages': []}),
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getattr(self.ap, 'pipeline_config_meta_safety', {'name': 'safety', 'stages': []}),
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getattr(self.ap, 'pipeline_config_meta_ai', {'name': 'ai', 'stages': []}),
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getattr(self.ap, 'pipeline_config_meta_output', {'name': 'output', 'stages': []}),
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)
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# initialize stage containers according to pipeline_entity.stages
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stage_containers: list[StageInstContainer] = []
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for stage_name in pipeline_entity.stages:
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